Computer Vision

(3-5 Credit Hours) · Undergraduate

This course provides an introduction to computer vision including history of vision techniques, fundamentals of image formation, image processing, and feature detection and matching. We'll develop basic methods for applications that include semantic segmentation for scene understanding, video-based object tracking for motion estimation, human pose estimation from images and image matching for cross-camera object re-identification. The focus of the course is to develop the intuitions and mathematics of the methods in lecture, and then to learn about the difference between theory and practice in the projects.